Pandas Profiling Report

Dataset statistics

Number of variables	54
Number of observations	132977
Missing cells	525925
Missing cells (%)	7.3%
Duplicate rows	101
Duplicate rows (%)	0.1%
Total size in memory	55.8 MiB
Average record size in memory	440.0 B

Variable types

Numeric	28
Categorical	26

Warnings

`an` has constant value "2019"	Constant
Dataset has 101 (0.1%) duplicate rows	Duplicates
`id_vehicule` has a high cardinality: 98670 distinct values	High cardinality
`hrmn` has a high cardinality: 1386 distinct values	High cardinality
`dep` has a high cardinality: 107 distinct values	High cardinality
`com` has a high cardinality: 11444 distinct values	High cardinality
`adr` has a high cardinality: 32020 distinct values	High cardinality
`lat` has a high cardinality: 55671 distinct values	High cardinality
`long` has a high cardinality: 56211 distinct values	High cardinality
`voie` has a high cardinality: 14492 distinct values	High cardinality
`pr` has a high cardinality: 489 distinct values	High cardinality
`pr1` has a high cardinality: 1103 distinct values	High cardinality
`occutc` is highly correlated with `larrout`	High correlation
`larrout` is highly correlated with `occutc`	High correlation
`lum` is highly correlated with `an`	High correlation
`an` is highly correlated with `lum` and 14 other fields	High correlation
`senc` is highly correlated with `an`	High correlation
`grav` is highly correlated with `an`	High correlation
`plan` is highly correlated with `an`	High correlation
`etatp` is highly correlated with `an`	High correlation
`catu` is highly correlated with `an`	High correlation
`v1` is highly correlated with `an`	High correlation
`v2` is highly correlated with `an`	High correlation
`vosp` is highly correlated with `an`	High correlation
`sexe` is highly correlated with `an`	High correlation
`num_veh` is highly correlated with `an`	High correlation
`agg` is highly correlated with `an`	High correlation
`prof` is highly correlated with `an`	High correlation
`circ` is highly correlated with `an`	High correlation
`actp` is highly correlated with `an`	High correlation
`occutc` has 131099 (98.6%) missing values	Missing
`voie` has 5914 (4.4%) missing values	Missing
`v2` has 123235 (92.7%) missing values	Missing
`lartpc` has 132510 (99.6%) missing values	Missing
`larrout` has 132146 (99.4%) missing values	Missing
`id_vehicule` is uniformly distributed	Uniform
`lat` is uniformly distributed	Uniform
`long` is uniformly distributed	Uniform
`trajet` has 34376 (25.9%) zeros	Zeros
`secu1` has 7196 (5.4%) zeros	Zeros
`secu2` has 58933 (44.3%) zeros	Zeros
`locp` has 71472 (53.7%) zeros	Zeros
`obs` has 111797 (84.1%) zeros	Zeros
`obsm` has 25195 (18.9%) zeros	Zeros
`choc` has 6844 (5.1%) zeros	Zeros
`manv` has 7140 (5.4%) zeros	Zeros
`motor` has 13538 (10.2%) zeros	Zeros
`nbv` has 3476 (2.6%) zeros	Zeros
`infra` has 110523 (83.1%) zeros	Zeros

Reproduction

Analysis started	2021-03-18 14:54:28.875009
Analysis finished	2021-03-18 14:56:26.882641
Duration	1 minute and 58.01 seconds
Software version	pandas-profiling v2.10.0
Download configuration	config.yaml

Num_Acc
Real number (ℝ_≥0)

Distinct	58840
Distinct (%)	44.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.019000294 × 10¹¹
Minimum	2.019 × 10¹¹
Maximum	2.019000588 × 10¹¹
Zeros	0
Zeros (%)	0.0%
Memory size	2.0 MiB

Quantile statistics

Minimum	2.019 × 10¹¹
5-th percentile	2.01900003 × 10¹¹
Q1	2.019000147 × 10¹¹
median	2.019000294 × 10¹¹
Q3	2.019000442 × 10¹¹
95-th percentile	2.019000559 × 10¹¹
Maximum	2.019000588 × 10¹¹
Range	58839
Interquartile range (IQR)	29478

Descriptive statistics

Standard deviation	16994.43687
Coefficient of variation (CV)	8.417253292 × 10⁸
Kurtosis	-1.202351012
Mean	2.019000294 × 10¹¹
Median Absolute Deviation (MAD)	14742
Skewness	0.001403624885
Sum	2.684806021 × 10¹⁶
Variance	288810884.7
Monotocity	Increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2.019000497 × 10¹¹	33	< 0.1%
2.019000296 × 10¹¹	30	< 0.1%
2.019000271 × 10¹¹	25	< 0.1%
2.019000522 × 10¹¹	24	< 0.1%
2.019000546 × 10¹¹	24	< 0.1%
2.019000499 × 10¹¹	24	< 0.1%
2.019000576 × 10¹¹	24	< 0.1%
2.019000414 × 10¹¹	23	< 0.1%
2.01900035 × 10¹¹	23	< 0.1%
2.019000429 × 10¹¹	23	< 0.1%
Other values (58830)	132724	99.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2.019 × 10¹¹	3	< 0.1%
2.019 × 10¹¹	1	< 0.1%
2.019 × 10¹¹	4	< 0.1%
2.019 × 10¹¹	4	< 0.1%
2.019 × 10¹¹	3	< 0.1%

Value	Count	Frequency (%)
2.019000588 × 10¹¹	2	< 0.1%
2.019000588 × 10¹¹	1	< 0.1%
2.019000588 × 10¹¹	1	< 0.1%
2.019000588 × 10¹¹	3	< 0.1%
2.019000588 × 10¹¹	3	< 0.1%

id_vehicule
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	98670
Distinct (%)	74.2%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

138 212 691	33
138 250 566	30
138 255 393	25
138 212 361	23
138 225 436	22
Other values (98665)	132844

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	1462747
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	73492 ?
Unique (%)	55.3%

Sample

1st row	138 306 524
2nd row	138 306 524
3rd row	138 306 525
4th row	138 306 523
5th row	138 306 520

Value	Count	Frequency (%)
138 212 691	33	< 0.1%
138 250 566	30	< 0.1%
138 255 393	25	< 0.1%
138 212 361	23	< 0.1%
138 225 436	22	< 0.1%
138 240 293	22	< 0.1%
138 232 653	20	< 0.1%
138 254 819	20	< 0.1%
138 273 542	19	< 0.1%
138 266 054	19	< 0.1%
Other values (98660)	132744	99.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
138	133076	33.4%
300	1474	0.4%
212	1464	0.4%
247	1441	0.4%
200	1439	0.4%
288	1434	0.4%
291	1427	0.4%
293	1420	0.4%
296	1413	0.4%
197	1411	0.4%
Other values (990)	252932	63.4%

Most occurring characters

Value	Count	Frequency (%)
	265954	18.2%
3	206157	14.1%
1	203753	13.9%
8	198183	13.5%
2	184806	12.6%
0	73274	5.0%
9	69993	4.8%
6	65608	4.5%
5	65484	4.5%
7	64947	4.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1196793	81.8%
Space Separator	265954	18.2%

Most frequent character per category

Value	Count	Frequency (%)
3	206157	17.2%
1	203753	17.0%
8	198183	16.6%
2	184806	15.4%
0	73274	6.1%
9	69993	5.8%
6	65608	5.5%
5	65484	5.5%
7	64947	5.4%
4	64588	5.4%

Value	Count	Frequency (%)
	265954	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1462747	100.0%

Most frequent character per script

Value	Count	Frequency (%)
	265954	18.2%
3	206157	14.1%
1	203753	13.9%
8	198183	13.5%
2	184806	12.6%
0	73274	5.0%
9	69993	4.8%
6	65608	4.5%
5	65484	4.5%
7	64947	4.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1196793	81.8%
None	265954	18.2%

Most frequent character per block

Value	Count	Frequency (%)
3	206157	17.2%
1	203753	17.0%
8	198183	16.6%
2	184806	15.4%
0	73274	6.1%
9	69993	5.8%
6	65608	5.5%
5	65484	5.5%
7	64947	5.4%
4	64588	5.4%

Value	Count	Frequency (%)
	265954	100.0%

num_veh
Categorical

HIGH CORRELATION

Distinct	29
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

A01	80464
B01	44394
C01	5465
D01	1205
Z01	814
Other values (24)	635

Length

Max length	4
Median length	3
Mean length	3.0000376
Min length	3

Characters and Unicode

Total characters	398936
Distinct characters	27
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	< 0.1%

Sample

1st row	B01
2nd row	B01
3rd row	A01
4th row	A01
5th row	A01

Value	Count	Frequency (%)
A01	80464	60.5%
B01	44394	33.4%
C01	5465	4.1%
D01	1205	0.9%
Z01	814	0.6%
E01	292	0.2%
F01	113	0.1%
Y01	63	< 0.1%
G01	47	< 0.1%
H01	22	< 0.1%
Other values (19)	98	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
a01	80464	60.5%
b01	44394	33.4%
c01	5465	4.1%
d01	1205	0.9%
z01	814	0.6%
e01	292	0.2%
f01	113	0.1%
y01	63	< 0.1%
g01	47	< 0.1%
h01	22	< 0.1%
Other values (19)	98	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	132977	33.3%
1	132977	33.3%
A	80466	20.2%
B	44396	11.1%
C	5466	1.4%
D	1205	0.3%
Z	814	0.2%
E	292	0.1%
F	114	< 0.1%
Y	63	< 0.1%
Other values (17)	166	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	265954	66.7%
Uppercase Letter	132981	33.3%
Other Punctuation	1	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
A	80466	60.5%
B	44396	33.4%
C	5466	4.1%
D	1205	0.9%
Z	814	0.6%
E	292	0.2%
F	114	0.1%
Y	63	< 0.1%
G	47	< 0.1%
H	22	< 0.1%
Other values (14)	96	0.1%

Value	Count	Frequency (%)
0	132977	50.0%
1	132977	50.0%

Value	Count	Frequency (%)
\	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	265955	66.7%
Latin	132981	33.3%

Most frequent character per script

Value	Count	Frequency (%)
A	80466	60.5%
B	44396	33.4%
C	5466	4.1%
D	1205	0.9%
Z	814	0.6%
E	292	0.2%
F	114	0.1%
Y	63	< 0.1%
G	47	< 0.1%
H	22	< 0.1%
Other values (14)	96	0.1%

Value	Count	Frequency (%)
0	132977	50.0%
1	132977	50.0%
\	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	398936	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	132977	33.3%
1	132977	33.3%
A	80466	20.2%
B	44396	11.1%
C	5466	1.4%
D	1205	0.3%
Z	814	0.2%
E	292	0.1%
F	114	< 0.1%
Y	63	< 0.1%
Other values (17)	166	< 0.1%

place
Real number (ℝ_≥0)

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.184753754
Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Memory size	2.0 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	10
Maximum	10
Range	9
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	2.695723955
Coefficient of variation (CV)	1.233879996
Kurtosis	3.705101663
Mean	2.184753754
Median Absolute Deviation (MAD)	0
Skewness	2.310252614
Sum	290522
Variance	7.266927639
Monotocity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	96935	72.9%
2	15495	11.7%
10	11265	8.5%
3	2530	1.9%
4	2301	1.7%
9	1539	1.2%
7	1355	1.0%
5	763	0.6%
8	619	0.5%
6	175	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	96935	72.9%
2	15495	11.7%
3	2530	1.9%
4	2301	1.7%
5	763	0.6%

Value	Count	Frequency (%)
10	11265	8.5%
9	1539	1.2%
8	619	0.5%
7	1355	1.0%
6	175	0.1%

catu
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

1	97356
2	24356
3	11265

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	132977
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	1
4th row	1
5th row	1

Value	Count	Frequency (%)
1	97356	73.2%
2	24356	18.3%
3	11265	8.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
1	97356	73.2%
2	24356	18.3%
3	11265	8.5%

Most occurring characters

Value	Count	Frequency (%)
1	97356	73.2%
2	24356	18.3%
3	11265	8.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	132977	100.0%

Most frequent character per category

Value	Count	Frequency (%)
1	97356	73.2%
2	24356	18.3%
3	11265	8.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	132977	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	97356	73.2%
2	24356	18.3%
3	11265	8.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	132977	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	97356	73.2%
2	24356	18.3%
3	11265	8.5%

grav
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

1	55314
4	53307
3	20858
2	3498

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	132977
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	4
3rd row	1
4th row	4
5th row	1

Value	Count	Frequency (%)
1	55314	41.6%
4	53307	40.1%
3	20858	15.7%
2	3498	2.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
1	55314	41.6%
4	53307	40.1%
3	20858	15.7%
2	3498	2.6%

Most occurring characters

Value	Count	Frequency (%)
1	55314	41.6%
4	53307	40.1%
3	20858	15.7%
2	3498	2.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	132977	100.0%

Most frequent character per category

Value	Count	Frequency (%)
1	55314	41.6%
4	53307	40.1%
3	20858	15.7%
2	3498	2.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	132977	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	55314	41.6%
4	53307	40.1%
3	20858	15.7%
2	3498	2.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	132977	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	55314	41.6%
4	53307	40.1%
3	20858	15.7%
2	3498	2.6%

sexe
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

1	90384
2	42593

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	132977
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	1
4th row	2
5th row	1

Value	Count	Frequency (%)
1	90384	68.0%
2	42593	32.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
1	90384	68.0%
2	42593	32.0%

Most occurring characters

Value	Count	Frequency (%)
1	90384	68.0%
2	42593	32.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	132977	100.0%

Most frequent character per category

Value	Count	Frequency (%)
1	90384	68.0%
2	42593	32.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	132977	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	90384	68.0%
2	42593	32.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	132977	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	90384	68.0%
2	42593	32.0%

an_nais
Real number (ℝ_≥0)

Distinct	104
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1980.0796
Minimum	1900
Maximum	2019
Zeros	0
Zeros (%)	0.0%
Memory size	2.0 MiB

Quantile statistics

Minimum	1900
5-th percentile	1944
Q1	1967
median	1983
Q3	1995
95-th percentile	2005
Maximum	2019
Range	119
Interquartile range (IQR)	28

Descriptive statistics

Standard deviation	19.1646246
Coefficient of variation (CV)	0.009678714231
Kurtosis	-0.06969051124
Mean	1980.0796
Median Absolute Deviation (MAD)	14
Skewness	-0.5903380339
Sum	263305045
Variance	367.2828362
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2000	3828	2.9%
1999	3699	2.8%
1998	3619	2.7%
1997	3534	2.7%
1996	3468	2.6%
1995	3282	2.5%
1994	3102	2.3%
1993	3058	2.3%
1992	2990	2.2%
1990	2933	2.2%
Other values (94)	99464	74.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1900	133	0.1%
1901	43	< 0.1%
1911	1	< 0.1%
1919	3	< 0.1%
1920	5	< 0.1%

Value	Count	Frequency (%)
2019	210	0.2%
2018	330	0.2%
2017	374	0.3%
2016	372	0.3%
2015	431	0.3%

trajet
Real number (ℝ)

ZEROS

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.224279387
Minimum	-1
Maximum	9
Zeros	34376
Zeros (%)	25.9%
Memory size	2.0 MiB

Quantile statistics

Minimum	-1
5-th percentile	0
Q1	0
median	4
Q3	5
95-th percentile	9
Maximum	9
Range	10
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.667380018
Coefficient of variation (CV)	0.8272794316
Kurtosis	-0.7155854079
Mean	3.224279387
Median Absolute Deviation (MAD)	1
Skewness	0.288085008
Sum	428755
Variance	7.114916162
Monotocity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
5	52021	39.1%
0	34376	25.9%
1	17677	13.3%
4	12506	9.4%
9	9461	7.1%
3	3557	2.7%
2	2836	2.1%
-1	543	0.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	543	0.4%
0	34376	25.9%
1	17677	13.3%
2	2836	2.1%
3	3557	2.7%

Value	Count	Frequency (%)
9	9461	7.1%
5	52021	39.1%
4	12506	9.4%
3	3557	2.7%
2	2836	2.1%

secu1
Real number (ℝ)

ZEROS

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.17979049
Minimum	-1
Maximum	9
Zeros	7196
Zeros (%)	5.4%
Memory size	2.0 MiB

Quantile statistics

Minimum	-1
5-th percentile	0
Q1	1
median	1
Q3	2
95-th percentile	8
Maximum	9
Range	10
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	2.47462694
Coefficient of variation (CV)	1.135259077
Kurtosis	1.597259904
Mean	2.17979049
Median Absolute Deviation (MAD)	0
Skewness	1.819540554
Sum	289862
Variance	6.123778494
Monotocity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
1	80550	60.6%
2	24377	18.3%
8	19288	14.5%
0	7196	5.4%
3	931	0.7%
9	198	0.1%
5	144	0.1%
6	109	0.1%
4	93	0.1%
-1	88	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	88	0.1%
0	7196	5.4%
1	80550	60.6%
2	24377	18.3%
3	931	0.7%

Value	Count	Frequency (%)
9	198	0.1%
8	19288	14.5%
7	3	< 0.1%
6	109	0.1%
5	144	0.1%

secu2
Real number (ℝ)

ZEROS

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.454281567
Minimum	-1
Maximum	9
Zeros	58933
Zeros (%)	44.3%
Memory size	2.0 MiB

Quantile statistics

Minimum	-1
5-th percentile	-1
Q1	-1
median	0
Q3	3
95-th percentile	8
Maximum	9
Range	10
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	3.284485303
Coefficient of variation (CV)	2.258493387
Kurtosis	-0.332462059
Mean	1.454281567
Median Absolute Deviation (MAD)	1
Skewness	1.196954897
Sum	193386
Variance	10.78784371
Monotocity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
0	58933	44.3%
-1	40164	30.2%
8	17840	13.4%
6	11872	8.9%
5	1843	1.4%
4	1072	0.8%
9	369	0.3%
2	346	0.3%
7	218	0.2%
1	202	0.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	40164	30.2%
0	58933	44.3%
1	202	0.2%
2	346	0.3%
3	118	0.1%

Value	Count	Frequency (%)
9	369	0.3%
8	17840	13.4%
7	218	0.2%
6	11872	8.9%
5	1843	1.4%

secu3
Real number (ℝ)

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	-0.9133609572
Minimum	-1
Maximum	9
Zeros	612
Zeros (%)	0.5%
Memory size	2.0 MiB

Quantile statistics

Minimum	-1
5-th percentile	-1
Q1	-1
median	-1
Q3	-1
95-th percentile	-1
Maximum	9
Range	10
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.8920616072
Coefficient of variation (CV)	-0.9766802491
Kurtosis	114.9772392
Mean	-0.9133609572
Median Absolute Deviation (MAD)	0
Skewness	10.76229717
Sum	-121456
Variance	0.795773911
Monotocity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
-1	131223	98.7%
9	960	0.7%
0	612	0.5%
8	80	0.1%
6	62	< 0.1%
4	16	< 0.1%
1	13	< 0.1%
5	4	< 0.1%
3	4	< 0.1%
2	3	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	131223	98.7%
0	612	0.5%
1	13	< 0.1%
2	3	< 0.1%
3	4	< 0.1%

Value	Count	Frequency (%)
9	960	0.7%
8	80	0.1%
6	62	< 0.1%
5	4	< 0.1%
4	16	< 0.1%

locp
Real number (ℝ)

ZEROS

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	-0.1092670161
Minimum	-1
Maximum	9
Zeros	71472
Zeros (%)	53.7%
Memory size	2.0 MiB

Quantile statistics

Minimum	-1
5-th percentile	-1
Q1	-1
median	0
Q3	0
95-th percentile	3
Maximum	9
Range	10
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.247776118
Coefficient of variation (CV)	-11.41951306
Kurtosis	17.43970943
Mean	-0.1092670161
Median Absolute Deviation (MAD)	0
Skewness	3.545760117
Sum	-14530
Variance	1.55694524
Monotocity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
0	71472	53.7%
-1	50473	38.0%
3	3423	2.6%
2	2491	1.9%
4	1641	1.2%
1	1604	1.2%
5	793	0.6%
9	575	0.4%
6	320	0.2%
8	169	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	50473	38.0%
0	71472	53.7%
1	1604	1.2%
2	2491	1.9%
3	3423	2.6%

Value	Count	Frequency (%)
9	575	0.4%
8	169	0.1%
7	16	< 0.1%
6	320	0.2%
5	793	0.6%

actp
Categorical

HIGH CORRELATION

Distinct	13
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

0	95554
-1	26341
3	8162
1	701
9	688
Other values (8)	1531

Length

Max length	3
Median length	1
Mean length	1.396173774
Min length	1

Characters and Unicode

Total characters	185659
Distinct characters	14
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-1
2nd row	-1
3rd row	-1
4th row	-1
5th row	0

Value	Count	Frequency (%)
0	95554	71.9%
-1	26341	19.8%
3	8162	6.1%
1	701	0.5%
9	688	0.5%
5	453	0.3%
B	431	0.3%
2	313	0.2%
4	167	0.1%
A	107	0.1%
Other values (3)	60	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	95554	71.9%
1	27042	20.3%
3	8162	6.1%
9	688	0.5%
5	453	0.3%
b	431	0.3%
2	313	0.2%
4	167	0.1%
a	107	0.1%
6	29	< 0.1%
Other values (2)	31	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	95554	51.5%
1	27042	14.6%
	26341	14.2%
-	26341	14.2%
3	8162	4.4%
9	688	0.4%
5	453	0.2%
B	431	0.2%
2	313	0.2%
4	167	0.1%
Other values (4)	167	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	132439	71.3%
Space Separator	26341	14.2%
Dash Punctuation	26341	14.2%
Uppercase Letter	538	0.3%

Most frequent character per category

Value	Count	Frequency (%)
0	95554	72.1%
1	27042	20.4%
3	8162	6.2%
9	688	0.5%
5	453	0.3%
2	313	0.2%
4	167	0.1%
6	29	< 0.1%
7	18	< 0.1%
8	13	< 0.1%

Value	Count	Frequency (%)
B	431	80.1%
A	107	19.9%

Value	Count	Frequency (%)
	26341	100.0%

Value	Count	Frequency (%)
-	26341	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	185121	99.7%
Latin	538	0.3%

Most frequent character per script

Value	Count	Frequency (%)
0	95554	51.6%
1	27042	14.6%
	26341	14.2%
-	26341	14.2%
3	8162	4.4%
9	688	0.4%
5	453	0.2%
2	313	0.2%
4	167	0.1%
6	29	< 0.1%
Other values (2)	31	< 0.1%

Value	Count	Frequency (%)
B	431	80.1%
A	107	19.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	185659	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	95554	51.5%
1	27042	14.6%
	26341	14.2%
-	26341	14.2%
3	8162	4.4%
9	688	0.4%
5	453	0.2%
B	431	0.2%
2	313	0.2%
4	167	0.1%
Other values (4)	167	0.1%

etatp
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

-1	121920
1	8392
2	2219
3	446

Length

Max length	2
Median length	2
Mean length	1.916850282
Min length	1

Characters and Unicode

Total characters	254897
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-1
2nd row	-1
3rd row	-1
4th row	-1
5th row	-1

Value	Count	Frequency (%)
-1	121920	91.7%
1	8392	6.3%
2	2219	1.7%
3	446	0.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
1	130312	98.0%
2	2219	1.7%
3	446	0.3%

Most occurring characters

Value	Count	Frequency (%)
1	130312	51.1%
-	121920	47.8%
2	2219	0.9%
3	446	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	132977	52.2%
Dash Punctuation	121920	47.8%

Most frequent character per category

Value	Count	Frequency (%)
1	130312	98.0%
2	2219	1.7%
3	446	0.3%

Value	Count	Frequency (%)
-	121920	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	254897	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	130312	51.1%
-	121920	47.8%
2	2219	0.9%
3	446	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	254897	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	130312	51.1%
-	121920	47.8%
2	2219	0.9%
3	446	0.2%

senc
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

1	58983
2	44431
3	19918
0	9599
-1	46

Length

Max length	2
Median length	1
Mean length	1.000345924
Min length	1

Characters and Unicode

Total characters	133023
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	1
5th row	1

Value	Count	Frequency (%)
1	58983	44.4%
2	44431	33.4%
3	19918	15.0%
0	9599	7.2%
-1	46	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
1	59029	44.4%
2	44431	33.4%
3	19918	15.0%
0	9599	7.2%

Most occurring characters

Value	Count	Frequency (%)
1	59029	44.4%
2	44431	33.4%
3	19918	15.0%
0	9599	7.2%
-	46	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	132977	> 99.9%
Dash Punctuation	46	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
1	59029	44.4%
2	44431	33.4%
3	19918	15.0%
0	9599	7.2%

Value	Count	Frequency (%)
-	46	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	133023	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	59029	44.4%
2	44431	33.4%
3	19918	15.0%
0	9599	7.2%
-	46	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	133023	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	59029	44.4%
2	44431	33.4%
3	19918	15.0%
0	9599	7.2%
-	46	< 0.1%

catv
Real number (ℝ_≥0)

Distinct	31
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	12.20498282
Minimum	0
Maximum	99
Zeros	247
Zeros (%)	0.2%
Memory size	2.0 MiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	7
median	7
Q3	10
95-th percentile	33
Maximum	99
Range	99
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	12.33929501
Coefficient of variation (CV)	1.011004701
Kurtosis	11.26149337
Mean	12.20498282
Median Absolute Deviation (MAD)	0
Skewness	2.74069144
Sum	1622982
Variance	152.2582013
Monotocity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
7	85253	64.1%
33	9257	7.0%
10	8790	6.6%
1	5265	4.0%
2	4268	3.2%
30	3614	2.7%
32	2824	2.1%
31	2117	1.6%
34	1596	1.2%
37	1343	1.0%
Other values (21)	8650	6.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	247	0.2%
1	5265	4.0%
2	4268	3.2%
3	1192	0.9%
7	85253	64.1%

Value	Count	Frequency (%)
99	551	0.4%
80	264	0.2%
60	144	0.1%
50	731	0.5%
43	563	0.4%

obs
Real number (ℝ)

ZEROS

Distinct	19
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.120035796
Minimum	-1
Maximum	17
Zeros	111797
Zeros (%)	84.1%
Memory size	2.0 MiB

Quantile statistics

Minimum	-1
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	11
Maximum	17
Range	18
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	3.263112977
Coefficient of variation (CV)	2.913400616
Kurtosis	9.202810686
Mean	1.120035796
Median Absolute Deviation (MAD)	0
Skewness	3.179723126
Sum	148939
Variance	10.6479063
Monotocity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
0	111797	84.1%
1	3068	2.3%
13	2770	2.1%
2	2287	1.7%
3	2158	1.6%
4	2016	1.5%
6	1717	1.3%
8	1653	1.2%
14	1031	0.8%
12	996	0.7%
Other values (9)	3484	2.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	43	< 0.1%
0	111797	84.1%
1	3068	2.3%
2	2287	1.7%
3	2158	1.6%

Value	Count	Frequency (%)
17	235	0.2%
16	593	0.4%
15	820	0.6%
14	1031	0.8%
13	2770	2.1%

obsm
Real number (ℝ)

ZEROS

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.54324432
Minimum	-1
Maximum	9
Zeros	25195
Zeros (%)	18.9%
Memory size	2.0 MiB

Quantile statistics

Minimum	-1
5-th percentile	0
Q1	1
median	2
Q3	2
95-th percentile	2
Maximum	9
Range	10
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.089174499
Coefficient of variation (CV)	0.7057693226
Kurtosis	16.16559222
Mean	1.54324432
Median Absolute Deviation (MAD)	0
Skewness	2.343837035
Sum	205216
Variance	1.186301088
Monotocity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
2	84950	63.9%
0	25195	18.9%
1	20758	15.6%
9	1003	0.8%
6	809	0.6%
4	99	0.1%
-1	89	0.1%
5	74	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	89	0.1%
0	25195	18.9%
1	20758	15.6%
2	84950	63.9%
4	99	0.1%

Value	Count	Frequency (%)
9	1003	0.8%
6	809	0.6%
5	74	0.1%
4	99	0.1%
2	84950	63.9%

choc
Real number (ℝ)

ZEROS

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.91280447
Minimum	-1
Maximum	9
Zeros	6844
Zeros (%)	5.1%
Memory size	2.0 MiB

Quantile statistics

Minimum	-1
5-th percentile	0
Q1	1
median	2
Q3	4
95-th percentile	8
Maximum	9
Range	10
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.391688698
Coefficient of variation (CV)	0.8210948323
Kurtosis	-0.08438043282
Mean	2.91280447
Median Absolute Deviation (MAD)	1
Skewness	1.008702139
Sum	387336
Variance	5.720174827
Monotocity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
1	48016	36.1%
3	20156	15.2%
2	17269	13.0%
4	13702	10.3%
8	8751	6.6%
7	7523	5.7%
0	6844	5.1%
6	4659	3.5%
5	3785	2.8%
9	2223	1.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	49	< 0.1%
0	6844	5.1%
1	48016	36.1%
2	17269	13.0%
3	20156	15.2%

Value	Count	Frequency (%)
9	2223	1.7%
8	8751	6.6%
7	7523	5.7%
6	4659	3.5%
5	3785	2.8%

manv
Real number (ℝ)

ZEROS

Distinct	28
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	7.202343262
Minimum	-1
Maximum	26
Zeros	7140
Zeros (%)	5.4%
Memory size	2.0 MiB

Quantile statistics

Minimum	-1
5-th percentile	0
Q1	1
median	2
Q3	15
95-th percentile	23
Maximum	26
Range	27
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	8.11396764
Coefficient of variation (CV)	1.126573303
Kurtosis	-0.68626766
Mean	7.202343262
Median Absolute Deviation (MAD)	1
Skewness	0.8694529984
Sum	957746
Variance	65.83647087
Monotocity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
1	55866	42.0%
2	14801	11.1%
15	10468	7.9%
0	7140	5.4%
13	5871	4.4%
26	4900	3.7%
17	4496	3.4%
23	3644	2.7%
9	3612	2.7%
16	3477	2.6%
Other values (18)	18702	14.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	46	< 0.1%
0	7140	5.4%
1	55866	42.0%
2	14801	11.1%
3	1271	1.0%

Value	Count	Frequency (%)
26	4900	3.7%
25	331	0.2%
24	519	0.4%
23	3644	2.7%
22	400	0.3%

motor
Real number (ℝ)

ZEROS

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.149943223
Minimum	-1
Maximum	6
Zeros	13538
Zeros (%)	10.2%
Memory size	2.0 MiB

Quantile statistics

Minimum	-1
5-th percentile	0
Q1	1
median	1
Q3	1
95-th percentile	5
Maximum	6
Range	7
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.054699399
Coefficient of variation (CV)	0.9171751944
Kurtosis	10.51705587
Mean	1.149943223
Median Absolute Deviation (MAD)	0
Skewness	3.151816464
Sum	152916
Variance	1.112390823
Monotocity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
1	109235	82.1%
0	13538	10.2%
5	4707	3.5%
6	2041	1.5%
3	1922	1.4%
2	1076	0.8%
-1	370	0.3%
4	88	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	370	0.3%
0	13538	10.2%
1	109235	82.1%
2	1076	0.8%
3	1922	1.4%

Value	Count	Frequency (%)
6	2041	1.5%
5	4707	3.5%
4	88	0.1%
3	1922	1.4%
2	1076	0.8%

occutc
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	22
Distinct (%)	1.2%
Missing	131099
Missing (%)	98.6%
Infinite	0
Infinite (%)	0.0%

Mean	5.600106496
Minimum	0
Maximum	33
Zeros	10
Zeros (%)	< 0.1%
Memory size	2.0 MiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	2
Q3	5
95-th percentile	22
Maximum	33
Range	33
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	7.770642675
Coefficient of variation (CV)	1.387588375
Kurtosis	2.743413389
Mean	5.600106496
Median Absolute Deviation (MAD)	1
Skewness	1.898899762
Sum	10517
Variance	60.38288758
Monotocity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
1	901	0.7%
2	185	0.1%
3	152	0.1%
4	90	0.1%
5	80	0.1%
18	54	< 0.1%
22	44	< 0.1%
19	38	< 0.1%
9	37	< 0.1%
17	34	< 0.1%
Other values (12)	263	0.2%
(Missing)	131099	98.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	10	< 0.1%
1	901	0.7%
2	185	0.1%
3	152	0.1%
4	90	0.1%

Value	Count	Frequency (%)
33	33	< 0.1%
30	30	< 0.1%
23	23	< 0.1%
22	44	< 0.1%
20	20	< 0.1%

jour
Real number (ℝ_≥0)

Distinct	31
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	15.67954609
Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Memory size	2.0 MiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	8
median	16
Q3	23
95-th percentile	29
Maximum	31
Range	30
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	8.746306394
Coefficient of variation (CV)	0.5578163006
Kurtosis	-1.176064264
Mean	15.67954609
Median Absolute Deviation (MAD)	8
Skewness	0.02225435625
Sum	2085019
Variance	76.49787554
Monotocity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
13	4628	3.5%
18	4606	3.5%
12	4569	3.4%
7	4569	3.4%
15	4559	3.4%
4	4500	3.4%
20	4496	3.4%
5	4478	3.4%
6	4453	3.3%
16	4431	3.3%
Other values (21)	87688	65.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	4185	3.1%
2	4394	3.3%
3	4008	3.0%
4	4500	3.4%
5	4478	3.4%

Value	Count	Frequency (%)
31	2586	1.9%
30	4049	3.0%
29	4073	3.1%
28	4031	3.0%
27	4094	3.1%

mois
Real number (ℝ_≥0)

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	6.701587493
Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Memory size	2.0 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	7
Q3	10
95-th percentile	12
Maximum	12
Range	11
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.385576978
Coefficient of variation (CV)	0.5051902973
Kurtosis	-1.16018346
Mean	6.701587493
Median Absolute Deviation (MAD)	3
Skewness	-0.06951767333
Sum	891157
Variance	11.46213147
Monotocity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
7	12535	9.4%
6	12433	9.3%
10	12093	9.1%
9	11882	8.9%
12	11576	8.7%
11	11137	8.4%
5	10840	8.2%
3	10518	7.9%
8	10457	7.9%
4	10340	7.8%
Other values (2)	19166	14.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	9575	7.2%
2	9591	7.2%
3	10518	7.9%
4	10340	7.8%
5	10840	8.2%

Value	Count	Frequency (%)
12	11576	8.7%
11	11137	8.4%
10	12093	9.1%
9	11882	8.9%
8	10457	7.9%

an
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

2019	132977

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	531908
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2019
2nd row	2019
3rd row	2019
4th row	2019
5th row	2019

Value	Count	Frequency (%)
2019	132977	100.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
2019	132977	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	132977	25.0%
0	132977	25.0%
1	132977	25.0%
9	132977	25.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	531908	100.0%

Most frequent character per category

Value	Count	Frequency (%)
2	132977	25.0%
0	132977	25.0%
1	132977	25.0%
9	132977	25.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	531908	100.0%

Most frequent character per script

Value	Count	Frequency (%)
2	132977	25.0%
0	132977	25.0%
1	132977	25.0%
9	132977	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	531908	100.0%

Most frequent character per block

Value	Count	Frequency (%)
2	132977	25.0%
0	132977	25.0%
1	132977	25.0%
9	132977	25.0%

hrmn
Categorical

HIGH CARDINALITY

Distinct	1386
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

18:00	1870
17:30	1646
18:30	1628
17:00	1503
16:00	1420
Other values (1381)	124910

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	664885
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	43 ?
Unique (%)	< 0.1%

Sample

1st row	01:30
2nd row	01:30
3rd row	01:30
4th row	02:50
5th row	15:15

Value	Count	Frequency (%)
18:00	1870	1.4%
17:30	1646	1.2%
18:30	1628	1.2%
17:00	1503	1.1%
16:00	1420	1.1%
19:00	1409	1.1%
16:30	1235	0.9%
15:00	1202	0.9%
19:30	1095	0.8%
15:30	1089	0.8%
Other values (1376)	118880	89.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
18:00	1870	1.4%
17:30	1646	1.2%
18:30	1628	1.2%
17:00	1503	1.1%
16:00	1420	1.1%
19:00	1409	1.1%
16:30	1235	0.9%
15:00	1202	0.9%
19:30	1095	0.8%
15:30	1089	0.8%
Other values (1376)	118880	89.4%

Most occurring characters

Value	Count	Frequency (%)
0	150155	22.6%
:	132977	20.0%
1	118713	17.9%
5	71098	10.7%
2	48509	7.3%
3	38186	5.7%
4	33547	5.0%
8	21419	3.2%
7	19443	2.9%
9	16656	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	531908	80.0%
Other Punctuation	132977	20.0%

Most frequent character per category

Value	Count	Frequency (%)
0	150155	28.2%
1	118713	22.3%
5	71098	13.4%
2	48509	9.1%
3	38186	7.2%
4	33547	6.3%
8	21419	4.0%
7	19443	3.7%
9	16656	3.1%
6	14182	2.7%

Value	Count	Frequency (%)
:	132977	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	664885	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	150155	22.6%
:	132977	20.0%
1	118713	17.9%
5	71098	10.7%
2	48509	7.3%
3	38186	5.7%
4	33547	5.0%
8	21419	3.2%
7	19443	2.9%
9	16656	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	664885	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	150155	22.6%
:	132977	20.0%
1	118713	17.9%
5	71098	10.7%
2	48509	7.3%
3	38186	5.7%
4	33547	5.0%
8	21419	3.2%
7	19443	2.9%
9	16656	2.5%

lum
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

1	88621
5	21197
3	13674
2	8281
4	1204

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	132977
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	4
3rd row	4
4th row	3
5th row	1

Value	Count	Frequency (%)
1	88621	66.6%
5	21197	15.9%
3	13674	10.3%
2	8281	6.2%
4	1204	0.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
1	88621	66.6%
5	21197	15.9%
3	13674	10.3%
2	8281	6.2%
4	1204	0.9%

Most occurring characters

Value	Count	Frequency (%)
1	88621	66.6%
5	21197	15.9%
3	13674	10.3%
2	8281	6.2%
4	1204	0.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	132977	100.0%

Most frequent character per category

Value	Count	Frequency (%)
1	88621	66.6%
5	21197	15.9%
3	13674	10.3%
2	8281	6.2%
4	1204	0.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	132977	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	88621	66.6%
5	21197	15.9%
3	13674	10.3%
2	8281	6.2%
4	1204	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	132977	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	88621	66.6%
5	21197	15.9%
3	13674	10.3%
2	8281	6.2%
4	1204	0.9%

dep
Categorical

HIGH CARDINALITY

Distinct	107
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

75	11895
93	7109
13	7003
94	6045
69	5782
Other values (102)	95143

Length

Max length	3
Median length	2
Mean length	1.999924799
Min length	1

Characters and Unicode

Total characters	265944
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	93
2nd row	93
3rd row	93
4th row	93
5th row	92

Value	Count	Frequency (%)
75	11895	8.9%
93	7109	5.3%
13	7003	5.3%
94	6045	4.5%
69	5782	4.3%
92	5304	4.0%
33	3530	2.7%
91	3384	2.5%
77	2455	1.8%
6	2341	1.8%
Other values (97)	78129	58.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
75	11895	8.9%
93	7109	5.3%
13	7003	5.3%
94	6045	4.5%
69	5782	4.3%
92	5304	4.0%
33	3530	2.7%
91	3384	2.5%
77	2455	1.8%
6	2341	1.8%
Other values (97)	78129	58.8%

Most occurring characters

Value	Count	Frequency (%)
9	43235	16.3%
7	38746	14.6%
3	37500	14.1%
5	28084	10.6%
4	25614	9.6%
1	25301	9.5%
6	23902	9.0%
2	20292	7.6%
8	16053	6.0%
0	5778	2.2%
Other values (2)	1439	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	264505	99.5%
Uppercase Letter	1439	0.5%

Most frequent character per category

Value	Count	Frequency (%)
9	43235	16.3%
7	38746	14.6%
3	37500	14.2%
5	28084	10.6%
4	25614	9.7%
1	25301	9.6%
6	23902	9.0%
2	20292	7.7%
8	16053	6.1%
0	5778	2.2%

Value	Count	Frequency (%)
B	807	56.1%
A	632	43.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	264505	99.5%
Latin	1439	0.5%

Most frequent character per script

Value	Count	Frequency (%)
9	43235	16.3%
7	38746	14.6%
3	37500	14.2%
5	28084	10.6%
4	25614	9.7%
1	25301	9.6%
6	23902	9.0%
2	20292	7.7%
8	16053	6.1%
0	5778	2.2%

Value	Count	Frequency (%)
B	807	56.1%
A	632	43.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	265944	100.0%

Most frequent character per block

Value	Count	Frequency (%)
9	43235	16.3%
7	38746	14.6%
3	37500	14.1%
5	28084	10.6%
4	25614	9.6%
1	25301	9.5%
6	23902	9.0%
2	20292	7.6%
8	16053	6.0%
0	5778	2.2%
Other values (2)	1439	0.5%

com
Categorical

HIGH CARDINALITY

Distinct	11444
Distinct (%)	8.6%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

75116	1418
75112	976
31555	952
75117	915
34172	882
Other values (11439)	127834

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	664885
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2006 ?
Unique (%)	1.5%

Sample

1st row	93053
2nd row	93053
3rd row	93053
4th row	93066
5th row	92036

Value	Count	Frequency (%)
75116	1418	1.1%
75112	976	0.7%
31555	952	0.7%
75117	915	0.7%
34172	882	0.7%
75119	855	0.6%
75115	838	0.6%
67482	824	0.6%
75120	817	0.6%
35238	811	0.6%
Other values (11434)	123689	93.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
75116	1418	1.1%
75112	976	0.7%
31555	952	0.7%
75117	915	0.7%
34172	882	0.7%
75119	855	0.6%
75115	838	0.6%
67482	824	0.6%
75120	817	0.6%
35238	811	0.6%
Other values (11434)	123689	93.0%

Most occurring characters

Value	Count	Frequency (%)
1	96397	14.5%
0	87580	13.2%
3	74199	11.2%
2	69430	10.4%
9	63582	9.6%
7	62725	9.4%
5	58245	8.8%
4	55806	8.4%
6	51717	7.8%
8	43765	6.6%
Other values (2)	1439	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	663446	99.8%
Uppercase Letter	1439	0.2%

Most frequent character per category

Value	Count	Frequency (%)
1	96397	14.5%
0	87580	13.2%
3	74199	11.2%
2	69430	10.5%
9	63582	9.6%
7	62725	9.5%
5	58245	8.8%
4	55806	8.4%
6	51717	7.8%
8	43765	6.6%

Value	Count	Frequency (%)
B	807	56.1%
A	632	43.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	663446	99.8%
Latin	1439	0.2%

Most frequent character per script

Value	Count	Frequency (%)
1	96397	14.5%
0	87580	13.2%
3	74199	11.2%
2	69430	10.5%
9	63582	9.6%
7	62725	9.5%
5	58245	8.8%
4	55806	8.4%
6	51717	7.8%
8	43765	6.6%

Value	Count	Frequency (%)
B	807	56.1%
A	632	43.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	664885	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	96397	14.5%
0	87580	13.2%
3	74199	11.2%
2	69430	10.4%
9	63582	9.6%
7	62725	9.4%
5	58245	8.8%
4	55806	8.4%
6	51717	7.8%
8	43765	6.6%
Other values (2)	1439	0.2%

agg
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

2	82791
1	50186

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	132977
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Value	Count	Frequency (%)
2	82791	62.3%
1	50186	37.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
2	82791	62.3%
1	50186	37.7%

Most occurring characters

Value	Count	Frequency (%)
2	82791	62.3%
1	50186	37.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	132977	100.0%

Most frequent character per category

Value	Count	Frequency (%)
2	82791	62.3%
1	50186	37.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	132977	100.0%

Most frequent character per script

Value	Count	Frequency (%)
2	82791	62.3%
1	50186	37.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	132977	100.0%

Most frequent character per block

Value	Count	Frequency (%)
2	82791	62.3%
1	50186	37.7%

int
Real number (ℝ_≥0)

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.016551735
Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Memory size	2.0 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	7
Maximum	9
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.98270514
Coefficient of variation (CV)	0.9832156082
Kurtosis	5.035846187
Mean	2.016551735
Median Absolute Deviation (MAD)	0
Skewness	2.389790744
Sum	268155
Variance	3.931119673
Monotocity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
1	87068	65.5%
2	16547	12.4%
3	13769	10.4%
9	5916	4.4%
6	4504	3.4%
4	2859	2.1%
7	1487	1.1%
5	681	0.5%
8	146	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	87068	65.5%
2	16547	12.4%
3	13769	10.4%
4	2859	2.1%
5	681	0.5%

Value	Count	Frequency (%)
9	5916	4.4%
8	146	0.1%
7	1487	1.1%
6	4504	3.4%
5	681	0.5%

atm
Real number (ℝ)

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.614279161
Minimum	-1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Memory size	2.0 MiB

Quantile statistics

Minimum	-1
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	7
Maximum	9
Range	10
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.672984771
Coefficient of variation (CV)	1.036366455
Kurtosis	8.919823271
Mean	1.614279161
Median Absolute Deviation (MAD)	0
Skewness	3.162367382
Sum	214662
Variance	2.798878044
Monotocity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	105340	79.2%
2	14749	11.1%
8	4944	3.7%
3	3244	2.4%
7	2336	1.8%
5	723	0.5%
9	656	0.5%
4	617	0.5%
6	367	0.3%
-1	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	1	< 0.1%
1	105340	79.2%
2	14749	11.1%
3	3244	2.4%
4	617	0.5%

Value	Count	Frequency (%)
9	656	0.5%
8	4944	3.7%
7	2336	1.8%
6	367	0.3%
5	723	0.5%

col
Real number (ℝ)

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.890071215
Minimum	-1
Maximum	7
Zeros	0
Zeros (%)	0.0%
Memory size	2.0 MiB

Quantile statistics

Minimum	-1
5-th percentile	1
Q1	3
median	3
Q3	6
95-th percentile	7
Maximum	7
Range	8
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.862988057
Coefficient of variation (CV)	0.4789084707
Kurtosis	-1.288004359
Mean	3.890071215
Median Absolute Deviation (MAD)	1
Skewness	0.1298636705
Sum	517290
Variance	3.470724499
Monotocity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
3	40350	30.3%
6	34838	26.2%
2	17977	13.5%
1	13956	10.5%
4	9292	7.0%
7	8663	6.5%
5	7899	5.9%
-1	2	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	2	< 0.1%
1	13956	10.5%
2	17977	13.5%
3	40350	30.3%
4	9292	7.0%

Value	Count	Frequency (%)
7	8663	6.5%
6	34838	26.2%
5	7899	5.9%
4	9292	7.0%
3	40350	30.3%

adr
Categorical

HIGH CARDINALITY

Distinct	32020
Distinct (%)	24.3%
Missing	1021
Missing (%)	0.8%
Memory size	2.0 MiB

AUTOROUTE A86	808
A4	786
AUTOROUTE A1	781
AUTOROUTE A3	677
A13	608
Other values (32015)	128296

Length

Max length	158
Median length	18
Mean length	18.46760284
Min length	1

Characters and Unicode

Total characters	2436911
Distinct characters	107
Distinct categories	12 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5426 ?
Unique (%)	4.1%

Sample

1st row	AUTOROUTE A3
2nd row	AUTOROUTE A3
3rd row	AUTOROUTE A3
4th row	AUTOROUTE A1
5th row	AUTOROUTE A86

Value	Count	Frequency (%)
AUTOROUTE A86	808	0.6%
A4	786	0.6%
AUTOROUTE A1	781	0.6%
AUTOROUTE A3	677	0.5%
A13	608	0.5%
AUTOROUTE A15	542	0.4%
AUTOROUTE A6	529	0.4%
RN 104	453	0.3%
ROCADE A 630	373	0.3%
A86	359	0.3%
Other values (32010)	126040	94.8%
(Missing)	1021	0.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
de	32696	7.8%
rue	24183	5.8%
avenue	15443	3.7%
du	11618	2.8%
route	11346	2.7%
	11269	2.7%
la	9983	2.4%
boulevard	7787	1.9%
autoroute	6584	1.6%
des	6184	1.5%
Other values (21309)	281081	67.2%

Most occurring characters

Value	Count	Frequency (%)
	373620	15.3%
E	212983	8.7%
A	145848	6.0%
R	139373	5.7%
U	104300	4.3%
D	87873	3.6%
e	84045	3.4%
N	80883	3.3%
L	76787	3.2%
O	71385	2.9%
Other values (97)	1059814	43.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1345080	55.2%
Lowercase Letter	438170	18.0%
Space Separator	373620	15.3%
Decimal Number	153522	6.3%
Open Punctuation	47744	2.0%
Close Punctuation	47018	1.9%
Other Punctuation	16456	0.7%
Dash Punctuation	10648	0.4%
Math Symbol	3052	0.1%
Other Symbol	1574	0.1%
Other values (2)	27	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
e	84045	19.2%
u	37989	8.7%
a	36438	8.3%
r	34228	7.8%
n	30291	6.9%
o	29166	6.7%
t	28540	6.5%
l	25349	5.8%
i	24845	5.7%
d	24694	5.6%
Other values (28)	82585	18.8%

Value	Count	Frequency (%)
E	212983	15.8%
A	145848	10.8%
R	139373	10.4%
U	104300	7.8%
D	87873	6.5%
N	80883	6.0%
L	76787	5.7%
O	71385	5.3%
I	61711	4.6%
T	61119	4.5%
Other values (26)	302818	22.5%

Value	Count	Frequency (%)
1	30107	19.6%
0	23403	15.2%
2	15343	10.0%
3	14465	9.4%
6	13722	8.9%
4	13205	8.6%
5	12968	8.4%
8	10583	6.9%
9	9976	6.5%
7	9750	6.4%

Value	Count	Frequency (%)
.	6260	38.0%
'	4723	28.7%
/	2849	17.3%
,	1798	10.9%
"	648	3.9%
:	160	1.0%
?	8	< 0.1%
;	7	< 0.1%
&	3	< 0.1%

Value	Count	Frequency (%)
+	2702	88.5%
>	203	6.7%
=	145	4.8%
<	2	0.1%

Value	Count	Frequency (%)
(	47686	99.9%
[	58	0.1%

Value	Count	Frequency (%)
)	46960	99.9%
]	58	0.1%

Value	Count	Frequency (%)
°	1570	99.7%
©	4	0.3%

Value	Count	Frequency (%)
	373620	100.0%

Value	Count	Frequency (%)
-	10648	100.0%

Value	Count	Frequency (%)
_	25	100.0%

Value	Count	Frequency (%)
’	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1783250	73.2%
Common	653661	26.8%

Most frequent character per script

Value	Count	Frequency (%)
E	212983	11.9%
A	145848	8.2%
R	139373	7.8%
U	104300	5.8%
D	87873	4.9%
e	84045	4.7%
N	80883	4.5%
L	76787	4.3%
O	71385	4.0%
I	61711	3.5%
Other values (64)	718062	40.3%

Value	Count	Frequency (%)
	373620	57.2%
(	47686	7.3%
)	46960	7.2%
1	30107	4.6%
0	23403	3.6%
2	15343	2.3%
3	14465	2.2%
6	13722	2.1%
4	13205	2.0%
5	12968	2.0%
Other values (23)	62182	9.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2427458	99.6%
None	9451	0.4%
Punctuation	2	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
	373620	15.4%
E	212983	8.8%
A	145848	6.0%
R	139373	5.7%
U	104300	4.3%
D	87873	3.6%
e	84045	3.5%
N	80883	3.3%
L	76787	3.2%
O	71385	2.9%
Other values (72)	1050361	43.3%

Value	Count	Frequency (%)
é	5268	55.7%
°	1570	16.6%
è	1259	13.3%
É	578	6.1%
â	139	1.5%
à	127	1.3%
ç	108	1.1%
ê	79	0.8%
ô	75	0.8%
È	57	0.6%
Other values (14)	191	2.0%

Value	Count	Frequency (%)
’	2	100.0%

lat
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	55671
Distinct (%)	41.9%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

48,8100000	48
43,1213200	47
48,7900000	45
43,1334900	33
49,8784070	33
Other values (55666)	132771

Length

Max length	12
Median length	10
Mean length	10.04498522
Min length	9

Characters and Unicode

Total characters	1335752
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10714 ?
Unique (%)	8.1%

Sample

1st row	48,8962100
2nd row	48,8962100
3rd row	48,8962100
4th row	48,9307000
5th row	48,9358718

Value	Count	Frequency (%)
48,8100000	48	< 0.1%
43,1213200	47	< 0.1%
48,7900000	45	< 0.1%
43,1334900	33	< 0.1%
49,8784070	33	< 0.1%
48,9100000	33	< 0.1%
43,1578850	30	< 0.1%
48,8200000	28	< 0.1%
43,1434000	28	< 0.1%
48,9244000	25	< 0.1%
Other values (55661)	132627	99.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
48,8100000	48	< 0.1%
43,1213200	47	< 0.1%
48,7900000	45	< 0.1%
48,9100000	33	< 0.1%
49,8784070	33	< 0.1%
43,1334900	33	< 0.1%
43,1578850	30	< 0.1%
43,1434000	28	< 0.1%
48,8200000	28	< 0.1%
48,8000000	25	< 0.1%
Other values (55661)	132627	99.7%

Most occurring characters

Value	Count	Frequency (%)
0	254627	19.1%
4	202863	15.2%
8	142103	10.6%
,	132977	10.0%
3	92786	6.9%
7	90335	6.8%
9	89073	6.7%
5	88778	6.6%
6	83521	6.3%
2	78267	5.9%
Other values (3)	80422	6.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1195843	89.5%
Other Punctuation	132977	10.0%
Space Separator	3466	0.3%
Dash Punctuation	3466	0.3%

Most frequent character per category

Value	Count	Frequency (%)
0	254627	21.3%
4	202863	17.0%
8	142103	11.9%
3	92786	7.8%
7	90335	7.6%
9	89073	7.4%
5	88778	7.4%
6	83521	7.0%
2	78267	6.5%
1	73490	6.1%

Value	Count	Frequency (%)
,	132977	100.0%

Value	Count	Frequency (%)
	3466	100.0%

Value	Count	Frequency (%)
-	3466	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1335752	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	254627	19.1%
4	202863	15.2%
8	142103	10.6%
,	132977	10.0%
3	92786	6.9%
7	90335	6.8%
9	89073	6.7%
5	88778	6.6%
6	83521	6.3%
2	78267	5.9%
Other values (3)	80422	6.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1335752	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	254627	19.1%
4	202863	15.2%
8	142103	10.6%
,	132977	10.0%
3	92786	6.9%
7	90335	6.8%
9	89073	6.7%
5	88778	6.6%
6	83521	6.3%
2	78267	5.9%
Other values (3)	80422	6.0%

long
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	56211
Distinct (%)	42.3%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

5,9533100	47
2,4900000	35
5,9847600	33
2,8373390	33
2,8563670	30
Other values (56206)	132799

Length

Max length	13
Median length	9
Mean length	9.400610632
Min length	9

Characters and Unicode

Total characters	1250065
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10855 ?
Unique (%)	8.2%

Sample

1st row	2,4701200
2nd row	2,4701200
3rd row	2,4701200
4th row	2,3688000
5th row	2,3191744

Value	Count	Frequency (%)
5,9533100	47	< 0.1%
2,4900000	35	< 0.1%
5,9847600	33	< 0.1%
2,8373390	33	< 0.1%
2,8563670	30	< 0.1%
2,4400000	30	< 0.1%
5,4000000	28	< 0.1%
6,0142000	28	< 0.1%
2,3467600	27	< 0.1%
2,2630000	26	< 0.1%
Other values (56201)	132660	99.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
5,9533100	47	< 0.1%
2,4900000	35	< 0.1%
2,8373390	33	< 0.1%
5,9847600	33	< 0.1%
2,8563670	30	< 0.1%
2,4400000	30	< 0.1%
5,4000000	28	< 0.1%
6,0142000	28	< 0.1%
2,3467600	27	< 0.1%
2,2630000	26	< 0.1%
Other values (56084)	132660	99.8%

Most occurring characters

Value	Count	Frequency (%)
0	268381	21.5%
,	132977	10.6%
2	125342	10.0%
4	96983	7.8%
3	96138	7.7%
5	92156	7.4%
1	91019	7.3%
6	81714	6.5%
7	75466	6.0%
8	73704	5.9%
Other values (3)	116185	9.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1071612	85.7%
Other Punctuation	132977	10.6%
Space Separator	22738	1.8%
Dash Punctuation	22738	1.8%

Most frequent character per category

Value	Count	Frequency (%)
0	268381	25.0%
2	125342	11.7%
4	96983	9.1%
3	96138	9.0%
5	92156	8.6%
1	91019	8.5%
6	81714	7.6%
7	75466	7.0%
8	73704	6.9%
9	70709	6.6%

Value	Count	Frequency (%)
,	132977	100.0%

Value	Count	Frequency (%)
	22738	100.0%

Value	Count	Frequency (%)
-	22738	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1250065	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	268381	21.5%
,	132977	10.6%
2	125342	10.0%
4	96983	7.8%
3	96138	7.7%
5	92156	7.4%
1	91019	7.3%
6	81714	6.5%
7	75466	6.0%
8	73704	5.9%
Other values (3)	116185	9.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1250065	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	268381	21.5%
,	132977	10.6%
2	125342	10.0%
4	96983	7.8%
3	96138	7.7%
5	92156	7.4%
1	91019	7.3%
6	81714	6.5%
7	75466	6.0%
8	73704	5.9%
Other values (3)	116185	9.3%

catr
Real number (ℝ_≥0)

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.270197102
Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Memory size	2.0 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	3
Q3	4
95-th percentile	4
Maximum	9
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.28271712
Coefficient of variation (CV)	0.3922445895
Kurtosis	3.686818671
Mean	3.270197102
Median Absolute Deviation (MAD)	1
Skewness	0.7745566859
Sum	434861
Variance	1.645363209
Monotocity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
4	55157	41.5%
3	47061	35.4%
1	15915	12.0%
2	9595	7.2%
7	2929	2.2%
9	1228	0.9%
6	930	0.7%
5	162	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	15915	12.0%
2	9595	7.2%
3	47061	35.4%
4	55157	41.5%
5	162	0.1%

Value	Count	Frequency (%)
9	1228	0.9%
7	2929	2.2%
6	930	0.7%
5	162	0.1%
4	55157	41.5%

voie
Categorical

HIGH CARDINALITY
MISSING

Distinct	14492
Distinct (%)	11.4%
Missing	5914
Missing (%)	4.4%
Memory size	2.0 MiB

1	2750
7	2091
86	2081
6	2079
4	1976
Other values (14487)	116086

Length

Max length	51
Median length	3
Mean length	10.11544667
Min length	1

Characters and Unicode

Total characters	1285299
Distinct characters	98
Distinct categories	11 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1713 ?
Unique (%)	1.3%

Sample

1st row	3
2nd row	3
3rd row	3
4th row	1
5th row	86

Value	Count	Frequency (%)
1	2750	2.1%
7	2091	1.6%
86	2081	1.6%
6	2079	1.6%
4	1976	1.5%
3	1591	1.2%
10	1389	1.0%
2	1294	1.0%
13	1185	0.9%
104	1128	0.8%
Other values (14482)	109499	82.3%
(Missing)	5914	4.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
rue	15665	6.3%
de	15278	6.2%
avenue	8756	3.5%
du	6056	2.4%
boulevard	5540	2.2%
la	4569	1.8%
	4372	1.8%
des	3330	1.3%
1	3028	1.2%
bd	3018	1.2%
Other values (9840)	178156	71.9%

Most occurring characters

Value	Count	Frequency (%)
	201263	15.7%
E	140325	10.9%
R	78845	6.1%
A	76192	5.9%
U	64619	5.0%
N	47944	3.7%
L	47164	3.7%
D	46418	3.6%
I	42463	3.3%
O	37817	2.9%
Other values (88)	502249	39.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	794500	61.8%
Space Separator	201263	15.7%
Decimal Number	185969	14.5%
Lowercase Letter	36002	2.8%
Open Punctuation	30760	2.4%
Close Punctuation	30317	2.4%
Other Punctuation	3858	0.3%
Dash Punctuation	1882	0.1%
Other Symbol	648	0.1%
Math Symbol	97	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
e	6796	18.9%
u	3482	9.7%
a	3099	8.6%
r	2803	7.8%
n	2607	7.2%
d	2483	6.9%
l	2042	5.7%
o	2012	5.6%
i	1909	5.3%
t	1539	4.3%
Other values (26)	7230	20.1%

Value	Count	Frequency (%)
E	140325	17.7%
R	78845	9.9%
A	76192	9.6%
U	64619	8.1%
N	47944	6.0%
L	47164	5.9%
D	46418	5.8%
I	42463	5.3%
O	37817	4.8%
S	31120	3.9%
Other values (21)	181593	22.9%

Value	Count	Frequency (%)
1	37133	20.0%
0	20218	10.9%
2	18749	10.1%
3	17969	9.7%
6	17512	9.4%
9	17198	9.2%
4	15806	8.5%
5	15103	8.1%
8	13505	7.3%
7	12776	6.9%

Value	Count	Frequency (%)
'	2007	52.0%
.	1288	33.4%
/	274	7.1%
"	143	3.7%
,	98	2.5%
:	30	0.8%
*	12	0.3%
%	2	0.1%
;	2	0.1%
#	2	0.1%

Value	Count	Frequency (%)
+	42	43.3%
>	39	40.2%
=	16	16.5%

Value	Count	Frequency (%)
(	30752	> 99.9%
[	8	< 0.1%

Value	Count	Frequency (%)
)	30309	> 99.9%
]	8	< 0.1%

Value	Count	Frequency (%)
	201263	100.0%

Value	Count	Frequency (%)
-	1882	100.0%

Value	Count	Frequency (%)
°	648	100.0%

Value	Count	Frequency (%)
_	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	830502	64.6%
Common	454797	35.4%

Most frequent character per script

Value	Count	Frequency (%)
E	140325	16.9%
R	78845	9.5%
A	76192	9.2%
U	64619	7.8%
N	47944	5.8%
L	47164	5.7%
D	46418	5.6%
I	42463	5.1%
O	37817	4.6%
S	31120	3.7%
Other values (57)	217595	26.2%

Value	Count	Frequency (%)
	201263	44.3%
1	37133	8.2%
(	30752	6.8%
)	30309	6.7%
0	20218	4.4%
2	18749	4.1%
3	17969	4.0%
6	17512	3.9%
9	17198	3.8%
4	15806	3.5%
Other values (21)	47888	10.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1283601	99.9%
None	1698	0.1%

Most frequent character per block

Value	Count	Frequency (%)
	201263	15.7%
E	140325	10.9%
R	78845	6.1%
A	76192	5.9%
U	64619	5.0%
N	47944	3.7%
L	47164	3.7%
D	46418	3.6%
I	42463	3.3%
O	37817	2.9%
Other values (72)	500551	39.0%

Value	Count	Frequency (%)
°	648	38.2%
é	582	34.3%
É	207	12.2%
è	93	5.5%
Ç	41	2.4%
ç	40	2.4%
à	20	1.2%
È	20	1.2%
ø	15	0.9%
ê	9	0.5%
Other values (6)	23	1.4%

v1
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

0.0	107905
nan	24596
2.0	416
3.0	60

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	398931
Distinct characters	6
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	107905	81.1%
nan	24596	18.5%
2.0	416	0.3%
3.0	60	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	107905	81.1%
nan	24596	18.5%
2.0	416	0.3%
3.0	60	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	216286	54.2%
.	108381	27.2%
n	49192	12.3%
a	24596	6.2%
2	416	0.1%
3	60	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	216762	54.3%
Other Punctuation	108381	27.2%
Lowercase Letter	73788	18.5%

Most frequent character per category

Value	Count	Frequency (%)
0	216286	99.8%
2	416	0.2%
3	60	< 0.1%

Value	Count	Frequency (%)
n	49192	66.7%
a	24596	33.3%

Value	Count	Frequency (%)
.	108381	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	325143	81.5%
Latin	73788	18.5%

Most frequent character per script

Value	Count	Frequency (%)
0	216286	66.5%
.	108381	33.3%
2	416	0.1%
3	60	< 0.1%

Value	Count	Frequency (%)
n	49192	66.7%
a	24596	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	398931	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	216286	54.2%
.	108381	27.2%
n	49192	12.3%
a	24596	6.2%
2	416	0.1%
3	60	< 0.1%

v2
Categorical

HIGH CORRELATION
MISSING

Distinct	35
Distinct (%)	0.4%
Missing	123235
Missing (%)	92.7%
Memory size	2.0 MiB

D	4082
A	2377
B	572
N	543
E	543
Other values (30)	1625

Length

Max length	3
Median length	1
Mean length	1.128618354
Min length	1

Characters and Unicode

Total characters	10995
Distinct characters	29
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	< 0.1%

Sample

1st row	INT
2nd row	INT
3rd row	INT
4th row	B
5th row	B

Value	Count	Frequency (%)
D	4082	3.1%
A	2377	1.8%
B	572	0.4%
N	543	0.4%
E	543	0.4%
INT	307	0.2%
EXT	248	0.2%
C	232	0.2%
R	160	0.1%
-	128	0.1%
Other values (25)	550	0.4%
(Missing)	123235	92.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
d	4083	41.9%
a	2377	24.4%
b	592	6.1%
n	543	5.6%
e	543	5.6%
int	307	3.2%
ext	248	2.5%
c	232	2.4%
r	160	1.6%
	128	1.3%
Other values (23)	529	5.4%

Most occurring characters

Value	Count	Frequency (%)
D	4085	37.2%
A	2380	21.6%
N	850	7.7%
E	791	7.2%
T	620	5.6%
B	572	5.2%
I	330	3.0%
X	257	2.3%
C	234	2.1%
R	160	1.5%
Other values (19)	716	6.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	10713	97.4%
Space Separator	129	1.2%
Dash Punctuation	128	1.2%
Lowercase Letter	20	0.2%
Decimal Number	5	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
D	4085	38.1%
A	2380	22.2%
N	850	7.9%
E	791	7.4%
T	620	5.8%
B	572	5.3%
I	330	3.1%
X	257	2.4%
C	234	2.2%
R	160	1.5%
Other values (14)	434	4.1%

Value	Count	Frequency (%)
1	4	80.0%
5	1	20.0%

Value	Count	Frequency (%)
	129	100.0%

Value	Count	Frequency (%)
-	128	100.0%

Value	Count	Frequency (%)
b	20	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	10733	97.6%
Common	262	2.4%

Most frequent character per script

Value	Count	Frequency (%)
D	4085	38.1%
A	2380	22.2%
N	850	7.9%
E	791	7.4%
T	620	5.8%
B	572	5.3%
I	330	3.1%
X	257	2.4%
C	234	2.2%
R	160	1.5%
Other values (15)	454	4.2%

Value	Count	Frequency (%)
	129	49.2%
-	128	48.9%
1	4	1.5%
5	1	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10995	100.0%

Most frequent character per block

Value	Count	Frequency (%)
D	4085	37.2%
A	2380	21.6%
N	850	7.7%
E	791	7.2%
T	620	5.6%
B	572	5.2%
I	330	3.0%
X	257	2.3%
C	234	2.1%
R	160	1.5%
Other values (19)	716	6.5%

circ
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

2	80818
1	23094
3	21502
-1	6726
4	837

Length

Max length	2
Median length	1
Mean length	1.050580176
Min length	1

Characters and Unicode

Total characters	139703
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	3
3rd row	3
4th row	1
5th row	3

Value	Count	Frequency (%)
2	80818	60.8%
1	23094	17.4%
3	21502	16.2%
-1	6726	5.1%
4	837	0.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
2	80818	60.8%
1	29820	22.4%
3	21502	16.2%
4	837	0.6%

Most occurring characters

Value	Count	Frequency (%)
2	80818	57.8%
1	29820	21.3%
3	21502	15.4%
-	6726	4.8%
4	837	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	132977	95.2%
Dash Punctuation	6726	4.8%

Most frequent character per category

Value	Count	Frequency (%)
2	80818	60.8%
1	29820	22.4%
3	21502	16.2%
4	837	0.6%

Value	Count	Frequency (%)
-	6726	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	139703	100.0%

Most frequent character per script

Value	Count	Frequency (%)
2	80818	57.8%
1	29820	21.3%
3	21502	15.4%
-	6726	4.8%
4	837	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	139703	100.0%

Most frequent character per block

Value	Count	Frequency (%)
2	80818	57.8%
1	29820	21.3%
3	21502	15.4%
-	6726	4.8%
4	837	0.6%

nbv
Real number (ℝ)

ZEROS

Distinct	14
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.479090369
Minimum	-1
Maximum	12
Zeros	3476
Zeros (%)	2.6%
Memory size	2.0 MiB

Quantile statistics

Minimum	-1
5-th percentile	1
Q1	2
median	2
Q3	3
95-th percentile	6
Maximum	12
Range	13
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.485557225
Coefficient of variation (CV)	0.5992348016
Kurtosis	5.734972586
Mean	2.479090369
Median Absolute Deviation (MAD)	0
Skewness	1.782176507
Sum	329662
Variance	2.20688027
Monotocity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
2	78819	59.3%
4	17072	12.8%
1	11938	9.0%
3	10805	8.1%
6	4084	3.1%
0	3476	2.6%
5	2635	2.0%
-1	1406	1.1%
8	1337	1.0%
7	531	0.4%
Other values (4)	874	0.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	1406	1.1%
0	3476	2.6%
1	11938	9.0%
2	78819	59.3%
3	10805	8.1%

Value	Count	Frequency (%)
12	75	0.1%
11	94	0.1%
10	418	0.3%
9	287	0.2%
8	1337	1.0%

vosp
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

0	121681
1	4085
3	3891
2	1890
-1	1430

Length

Max length	2
Median length	1
Mean length	1.010753739
Min length	1

Characters and Unicode

Total characters	134407
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	121681	91.5%
1	4085	3.1%
3	3891	2.9%
2	1890	1.4%
-1	1430	1.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	121681	91.5%
1	5515	4.1%
3	3891	2.9%
2	1890	1.4%

Most occurring characters

Value	Count	Frequency (%)
0	121681	90.5%
1	5515	4.1%
3	3891	2.9%
2	1890	1.4%
-	1430	1.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	132977	98.9%
Dash Punctuation	1430	1.1%

Most frequent character per category

Value	Count	Frequency (%)
0	121681	91.5%
1	5515	4.1%
3	3891	2.9%
2	1890	1.4%

Value	Count	Frequency (%)
-	1430	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	134407	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	121681	90.5%
1	5515	4.1%
3	3891	2.9%
2	1890	1.4%
-	1430	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	134407	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	121681	90.5%
1	5515	4.1%
3	3891	2.9%
2	1890	1.4%
-	1430	1.1%

prof
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

1	107390
2	21131
3	2328
4	2097
-1	31

Length

Max length	2
Median length	1
Mean length	1.000233123
Min length	1

Characters and Unicode

Total characters	133008
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	4
5th row	1

Value	Count	Frequency (%)
1	107390	80.8%
2	21131	15.9%
3	2328	1.8%
4	2097	1.6%
-1	31	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
1	107421	80.8%
2	21131	15.9%
3	2328	1.8%
4	2097	1.6%

Most occurring characters

Value	Count	Frequency (%)
1	107421	80.8%
2	21131	15.9%
3	2328	1.8%
4	2097	1.6%
-	31	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	132977	> 99.9%
Dash Punctuation	31	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
1	107421	80.8%
2	21131	15.9%
3	2328	1.8%
4	2097	1.6%

Value	Count	Frequency (%)
-	31	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	133008	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	107421	80.8%
2	21131	15.9%
3	2328	1.8%
4	2097	1.6%
-	31	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	133008	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	107421	80.8%
2	21131	15.9%
3	2328	1.8%
4	2097	1.6%
-	31	< 0.1%

pr
Categorical

HIGH CARDINALITY

Distinct	489
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

0	58844
(1)	15781
1	7896
2	2669
3	2173
Other values (484)	45614

Length

Max length	4
Median length	1
Mean length	1.54401137
Min length	1

Characters and Unicode

Total characters	205318
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	20 ?
Unique (%)	< 0.1%

Sample

1st row	6
2nd row	6
3rd row	6
4th row	3
5th row	10

Value	Count	Frequency (%)
0	58844	44.3%
(1)	15781	11.9%
1	7896	5.9%
2	2669	2.0%
3	2173	1.6%
4	2057	1.5%
6	1902	1.4%
5	1872	1.4%
7	1561	1.2%
8	1406	1.1%
Other values (479)	36816	27.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	58844	44.3%
1	23677	17.8%
2	2669	2.0%
3	2173	1.6%
4	2057	1.5%
6	1902	1.4%
5	1872	1.4%
7	1561	1.2%
8	1406	1.1%
9	1379	1.0%
Other values (478)	35437	26.6%

Most occurring characters

Value	Count	Frequency (%)
0	63874	31.1%
1	41086	20.0%
(	15781	7.7%
)	15781	7.7%
2	14951	7.3%
3	11757	5.7%
4	9671	4.7%
5	8193	4.0%
6	7064	3.4%
7	6369	3.1%
Other values (2)	10791	5.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	173756	84.6%
Open Punctuation	15781	7.7%
Close Punctuation	15781	7.7%

Most frequent character per category

Value	Count	Frequency (%)
0	63874	36.8%
1	41086	23.6%
2	14951	8.6%
3	11757	6.8%
4	9671	5.6%
5	8193	4.7%
6	7064	4.1%
7	6369	3.7%
8	5448	3.1%
9	5343	3.1%

Value	Count	Frequency (%)
(	15781	100.0%

Value	Count	Frequency (%)
)	15781	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	205318	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	63874	31.1%
1	41086	20.0%
(	15781	7.7%
)	15781	7.7%
2	14951	7.3%
3	11757	5.7%
4	9671	4.7%
5	8193	4.0%
6	7064	3.4%
7	6369	3.1%
Other values (2)	10791	5.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	205318	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	63874	31.1%
1	41086	20.0%
(	15781	7.7%
)	15781	7.7%
2	14951	7.3%
3	11757	5.7%
4	9671	4.7%
5	8193	4.0%
6	7064	3.4%
7	6369	3.1%
Other values (2)	10791	5.3%

pr1
Categorical

HIGH CARDINALITY

Distinct	1103
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

0	66522
(1)	16461
500	4963
200	2748
100	2624
Other values (1098)	39659

Length

Max length	4
Median length	1
Mean length	1.939004489
Min length	1

Characters and Unicode

Total characters	257843
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	41 ?
Unique (%)	< 0.1%

Sample

1st row	900
2nd row	900
3rd row	900
4th row	845
5th row	500

Value	Count	Frequency (%)
0	66522	50.0%
(1)	16461	12.4%
500	4963	3.7%
200	2748	2.1%
100	2624	2.0%
800	2604	2.0%
1	2357	1.8%
600	2201	1.7%
400	2181	1.6%
300	2025	1.5%
Other values (1093)	28291	21.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	66522	50.0%
1	18818	14.2%
500	4963	3.7%
200	2748	2.1%
100	2624	2.0%
800	2604	2.0%
600	2201	1.7%
400	2181	1.6%
300	2025	1.5%
700	1945	1.5%
Other values (1092)	26346	19.8%

Most occurring characters

Value	Count	Frequency (%)
0	125467	48.7%
1	26856	10.4%
(	16461	6.4%
)	16461	6.4%
5	15848	6.1%
9	13069	5.1%
2	8442	3.3%
8	7702	3.0%
3	7252	2.8%
7	6809	2.6%
Other values (2)	13476	5.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	224921	87.2%
Open Punctuation	16461	6.4%
Close Punctuation	16461	6.4%

Most frequent character per category

Value	Count	Frequency (%)
0	125467	55.8%
1	26856	11.9%
5	15848	7.0%
9	13069	5.8%
2	8442	3.8%
8	7702	3.4%
3	7252	3.2%
7	6809	3.0%
6	6768	3.0%
4	6708	3.0%

Value	Count	Frequency (%)
(	16461	100.0%

Value	Count	Frequency (%)
)	16461	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	257843	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	125467	48.7%
1	26856	10.4%
(	16461	6.4%
)	16461	6.4%
5	15848	6.1%
9	13069	5.1%
2	8442	3.3%
8	7702	3.0%
3	7252	2.8%
7	6809	2.6%
Other values (2)	13476	5.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	257843	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	125467	48.7%
1	26856	10.4%
(	16461	6.4%
)	16461	6.4%
5	15848	6.1%
9	13069	5.1%
2	8442	3.3%
8	7702	3.0%
3	7252	2.8%
7	6809	2.6%
Other values (2)	13476	5.2%

plan
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

1	109073
2	11207
3	11064
4	1617
-1	16

Length

Max length	2
Median length	1
Mean length	1.000120322
Min length	1

Characters and Unicode

Total characters	132993
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	3

Value	Count	Frequency (%)
1	109073	82.0%
2	11207	8.4%
3	11064	8.3%
4	1617	1.2%
-1	16	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
1	109089	82.0%
2	11207	8.4%
3	11064	8.3%
4	1617	1.2%

Most occurring characters

Value	Count	Frequency (%)
1	109089	82.0%
2	11207	8.4%
3	11064	8.3%
4	1617	1.2%
-	16	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	132977	> 99.9%
Dash Punctuation	16	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
1	109089	82.0%
2	11207	8.4%
3	11064	8.3%
4	1617	1.2%

Value	Count	Frequency (%)
-	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	132993	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	109089	82.0%
2	11207	8.4%
3	11064	8.3%
4	1617	1.2%
-	16	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	132993	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	109089	82.0%
2	11207	8.4%
3	11064	8.3%
4	1617	1.2%
-	16	< 0.1%

lartpc
Real number (ℝ_≥0)

MISSING

Distinct	26
Distinct (%)	5.6%
Missing	132510
Missing (%)	99.6%
Infinite	0
Infinite (%)	0.0%

Mean	6.760385438
Minimum	0
Maximum	180
Zeros	312
Zeros (%)	0.2%
Memory size	2.0 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	2.5
95-th percentile	45
Maximum	180
Range	180
Interquartile range (IQR)	2.5

Descriptive statistics

Standard deviation	19.17557107
Coefficient of variation (CV)	2.836461212
Kurtosis	42.1200109
Mean	6.760385438
Median Absolute Deviation (MAD)	0
Skewness	5.509732335
Sum	3157.1
Variance	367.702526
Monotocity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
0	312	0.2%
30	26	< 0.1%
2.5	24	< 0.1%
50	17	< 0.1%
2	16	< 0.1%
3	11	< 0.1%
1	8	< 0.1%
4	6	< 0.1%
20	6	< 0.1%
45	6	< 0.1%
Other values (16)	35	< 0.1%
(Missing)	132510	99.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	312	0.2%
1	8	< 0.1%
1.5	3	< 0.1%
2	16	< 0.1%
2.5	24	< 0.1%

Value	Count	Frequency (%)
180	3	< 0.1%
60	3	< 0.1%
50	17	< 0.1%
45	6	< 0.1%
35	1	< 0.1%

larrout
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	110
Distinct (%)	13.2%
Missing	132146
Missing (%)	99.4%
Infinite	0
Infinite (%)	0.0%

Mean	47.92635379
Minimum	2.4
Maximum	730
Zeros	0
Zeros (%)	0.0%
Memory size	2.0 MiB

Quantile statistics

Minimum	2.4
5-th percentile	4.3
Q1	6.2
median	14
Q3	67.5
95-th percentile	145
Maximum	730
Range	727.6
Interquartile range (IQR)	61.3

Descriptive statistics

Standard deviation	72.83191755
Coefficient of variation (CV)	1.519663229
Kurtosis	49.08053943
Mean	47.92635379
Median Absolute Deviation (MAD)	11.1
Skewness	5.833710557
Sum	39826.8
Variance	5304.488214
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7	82	0.1%
14	40	< 0.1%
70	27	< 0.1%
65	26	< 0.1%
50	25	< 0.1%
60	21	< 0.1%
140	21	< 0.1%
6	19	< 0.1%
5.6	18	< 0.1%
170	18	< 0.1%
Other values (100)	534	0.4%
(Missing)	132146	99.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2.4	5	< 0.1%
2.8	2	< 0.1%
2.9	5	< 0.1%
3	2	< 0.1%
3.1	2	< 0.1%

Value	Count	Frequency (%)
730	3	< 0.1%
700	3	< 0.1%
275	2	< 0.1%
190	3	< 0.1%
180	2	< 0.1%

surf
Real number (ℝ)

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.266030968
Minimum	-1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Memory size	2.0 MiB

Quantile statistics

Minimum	-1
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	2
Maximum	9
Range	10
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.8079890418
Coefficient of variation (CV)	0.6382063807
Kurtosis	52.77807618
Mean	1.266030968
Median Absolute Deviation (MAD)	0
Skewness	6.481029463
Sum	168353
Variance	0.6528462917
Monotocity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	106451	80.1%
2	24647	18.5%
9	614	0.5%
7	434	0.3%
5	255	0.2%
3	235	0.2%
8	196	0.1%
6	58	< 0.1%
4	47	< 0.1%
-1	40	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	40	< 0.1%
1	106451	80.1%
2	24647	18.5%
3	235	0.2%
4	47	< 0.1%

Value	Count	Frequency (%)
9	614	0.5%
8	196	0.1%
7	434	0.3%
6	58	< 0.1%
5	255	0.2%

infra
Real number (ℝ)

ZEROS

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.8746700557
Minimum	-1
Maximum	9
Zeros	110523
Zeros (%)	83.1%
Memory size	2.0 MiB

Quantile statistics

Minimum	-1
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	6
Maximum	9
Range	10
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2.221849345
Coefficient of variation (CV)	2.540214256
Kurtosis	5.61371634
Mean	0.8746700557
Median Absolute Deviation (MAD)	0
Skewness	2.583461782
Sum	116311
Variance	4.936614511
Monotocity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
0	110523	83.1%
5	7878	5.9%
9	4946	3.7%
2	2676	2.0%
3	2079	1.6%
1	1803	1.4%
6	1157	0.9%
8	1149	0.9%
4	563	0.4%
7	104	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	99	0.1%
0	110523	83.1%
1	1803	1.4%
2	2676	2.0%
3	2079	1.6%

Value	Count	Frequency (%)
9	4946	3.7%
8	1149	0.9%
7	104	0.1%
6	1157	0.9%
5	7878	5.9%

situ
Real number (ℝ)

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.328350015
Minimum	-1
Maximum	8
Zeros	0
Zeros (%)	0.0%
Memory size	2.0 MiB

Quantile statistics

Minimum	-1
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	3
Maximum	8
Range	9
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.135904859
Coefficient of variation (CV)	0.8551246631
Kurtosis	19.02459798
Mean	1.328350015
Median Absolute Deviation (MAD)	0
Skewness	4.18596441
Sum	176640
Variance	1.29027985
Monotocity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
1	117931	88.7%
3	7529	5.7%
8	2067	1.6%
2	2033	1.5%
4	1180	0.9%
5	1033	0.8%
6	977	0.7%
-1	227	0.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	227	0.2%
1	117931	88.7%
2	2033	1.5%
3	7529	5.7%
4	1180	0.9%

Value	Count	Frequency (%)
8	2067	1.6%
6	977	0.7%
5	1033	0.8%
4	1180	0.9%
3	7529	5.7%

vma
Real number (ℝ)

Distinct	34
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	61.54586131
Minimum	-1
Maximum	800
Zeros	2
Zeros (%)	< 0.1%
Memory size	2.0 MiB

Quantile statistics

Minimum	-1
5-th percentile	30
Q1	50
median	50
Q3	80
95-th percentile	110
Maximum	800
Range	801
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	25.02083426
Coefficient of variation (CV)	0.4065396719
Kurtosis	50.02038147
Mean	61.54586131
Median Absolute Deviation (MAD)	0
Skewness	3.040271305
Sum	8184184
Variance	626.0421472
Monotocity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
50	72685	54.7%
80	20365	15.3%
70	9958	7.5%
90	8807	6.6%
30	8313	6.3%
110	5695	4.3%
130	3707	2.8%
-1	1899	1.4%
60	482	0.4%
20	313	0.2%
Other values (24)	753	0.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	1899	1.4%
0	2	< 0.1%
1	25	< 0.1%
2	44	< 0.1%
3	14	< 0.1%

Value	Count	Frequency (%)
800	1	< 0.1%
700	4	< 0.1%
600	1	< 0.1%
560	3	< 0.1%
500	37	< 0.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Num_Acc	id_vehicule	num_veh	place	catu	grav	sexe	an_nais	trajet	secu1	secu2	secu3	locp	actp	etatp	senc	catv	obs	obsm	choc	manv	motor	occutc	jour	mois	an	hrmn	lum	dep	com	agg	int	atm	col	adr	lat	long	catr	voie	v2	circ	nbv	prof	pr	pr1	plan	lartpc	larrout	surf	infra	situ	vma
0	201900000001	138 306 524	B01	2	2	4	2	2002	0	1	0	-1	-1	-1	-1	2	7	0	2	5	23	1	NaN	30	11	2019	01:30	4	93	93053	1	1	1	2	AUTOROUTE A3	48,8962100	2,4701200	1	3	NaN	3	10	1	6	900	2	NaN	NaN	1	2	1	70
1	201900000001	138 306 524	B01	1	1	4	2	1993	5	1	0	-1	-1	-1	-1	2	7	0	2	5	23	1	NaN	30	11	2019	01:30	4	93	93053	1	1	1	2	AUTOROUTE A3	48,8962100	2,4701200	1	3	NaN	3	10	1	6	900	2	NaN	NaN	1	2	1	70
2	201900000001	138 306 525	A01	1	1	1	1	1959	0	1	0	-1	-1	-1	-1	2	17	1	0	3	11	1	NaN	30	11	2019	01:30	4	93	93053	1	1	1	2	AUTOROUTE A3	48,8962100	2,4701200	1	3	NaN	3	10	1	6	900	2	NaN	NaN	1	2	1	70
3	201900000002	138 306 523	A01	1	1	4	2	1994	0	1	0	-1	-1	-1	-1	1	7	4	0	1	0	1	NaN	30	11	2019	02:50	3	93	93066	1	1	1	6	AUTOROUTE A1	48,9307000	2,3688000	1	1	NaN	1	2	4	3	845	2	NaN	NaN	1	0	1	70
4	201900000003	138 306 520	A01	1	1	1	1	1996	0	1	0	-1	-1	0	-1	1	7	0	2	1	2	1	NaN	28	11	2019	15:15	1	92	92036	1	1	1	4	AUTOROUTE A86	48,9358718	2,3191744	1	86	NaN	3	8	1	10	500	3	NaN	NaN	1	0	1	90
5	201900000003	138 306 520	A01	2	2	4	2	1930	9	1	0	-1	-1	0	-1	1	7	0	2	1	2	1	NaN	28	11	2019	15:15	1	92	92036	1	1	1	4	AUTOROUTE A86	48,9358718	2,3191744	1	86	NaN	3	8	1	10	500	3	NaN	NaN	1	0	1	90
6	201900000003	138 306 521	B01	1	1	4	1	1995	9	1	0	-1	-1	0	-1	1	7	1	0	4	2	1	NaN	28	11	2019	15:15	1	92	92036	1	1	1	4	AUTOROUTE A86	48,9358718	2,3191744	1	86	NaN	3	8	1	10	500	3	NaN	NaN	1	0	1	90
7	201900000003	138 306 522	C01	1	1	1	1	1966	1	1	0	-1	-1	0	-1	1	7	0	2	4	23	6	NaN	28	11	2019	15:15	1	92	92036	1	1	1	4	AUTOROUTE A86	48,9358718	2,3191744	1	86	NaN	3	8	1	10	500	3	NaN	NaN	1	0	1	90
8	201900000004	138 306 517	A01	1	1	1	1	1993	0	1	8	-1	-1	0	-1	2	7	0	2	4	23	1	NaN	30	11	2019	20:20	5	94	94069	1	1	1	4	A4	48,8173295	2,4281502	1	4	NaN	3	5	1	2	299	1	NaN	NaN	1	0	1	90
9	201900000004	138 306 518	B01	1	1	1	1	1968	5	1	8	-1	-1	0	-1	2	7	0	2	4	23	1	NaN	30	11	2019	20:20	5	94	94069	1	1	1	4	A4	48,8173295	2,4281502	1	4	NaN	3	5	1	2	299	1	NaN	NaN	1	0	1	90

Last rows

	Num_Acc	id_vehicule	num_veh	place	catu	grav	sexe	an_nais	trajet	secu1	secu2	secu3	locp	actp	etatp	senc	catv	obs	obsm	choc	manv	motor	occutc	jour	mois	an	hrmn	lum	dep	com	agg	int	atm	col	adr	lat	long	catr	voie	v2	circ	nbv	prof	pr	pr1	plan	lartpc	larrout	surf	infra	situ	vma
132967	201900058836	137 982 136	B01	1	1	4	1	1992	4	1	0	-1	-1	0	-1	2	7	0	2	6	0	1	NaN	30	11	2019	09:00	1	69	69288	1	1	5	2	A43 13.029 A 15.971	45,6666600	5,0561200	1	43	NaN	1	3	1	15	500	1	NaN	NaN	2	3	1	130
132968	201900058836	137 982 137	A01	1	1	4	1	1973	5	1	0	-1	-1	0	-1	2	7	3	2	1	21	1	NaN	30	11	2019	09:00	1	69	69288	1	1	5	2	A43 13.029 A 15.971	45,6666600	5,0561200	1	43	NaN	1	3	1	15	500	1	NaN	NaN	2	3	1	130
132969	201900058836	137 982 137	A01	2	2	4	1	1968	5	1	0	-1	-1	0	-1	2	7	3	2	1	21	1	NaN	30	11	2019	09:00	1	69	69288	1	1	5	2	A43 13.029 A 15.971	45,6666600	5,0561200	1	43	NaN	1	3	1	15	500	1	NaN	NaN	2	3	1	130
132970	201900058837	137 982 133	A01	1	1	1	2	1972	1	1	4	-1	-1	-1	-1	1	7	0	2	4	2	3	NaN	27	11	2019	07:50	1	67	67482	1	1	8	4	Autoroute A.35	48,5769000	7,7269000	1	35	NaN	1	2	1	303	282	1	NaN	NaN	2	0	1	90
132971	201900058837	137 982 134	B01	1	1	4	1	1964	1	1	4	-1	-1	-1	-1	1	7	0	2	1	2	1	NaN	27	11	2019	07:50	1	67	67482	1	1	8	4	Autoroute A.35	48,5769000	7,7269000	1	35	NaN	1	2	1	303	282	1	NaN	NaN	2	0	1	90
132972	201900058837	137 982 135	C01	1	1	4	2	1988	1	1	0	-1	-1	-1	-1	1	7	0	2	1	2	1	NaN	27	11	2019	07:50	1	67	67482	1	1	8	4	Autoroute A.35	48,5769000	7,7269000	1	35	NaN	1	2	1	303	282	1	NaN	NaN	2	0	1	90
132973	201900058838	137 982 132	A01	1	1	4	1	1998	9	1	0	-1	-1	-1	-1	2	7	3	0	1	21	0	NaN	30	11	2019	02:41	4	94	94021	1	1	1	6	AUTOROUTE A6A	48,7717000	2,3457600	1	6	A	3	3	1	5	199	1	NaN	NaN	1	0	1	90
132974	201900058839	137 982 131	A01	1	1	3	1	1979	0	2	0	-1	-1	-1	-1	2	33	0	0	7	1	1	NaN	30	11	2019	15:20	1	78	78640	1	1	1	7	A86 EXT	48,7772890	2,2237590	1	86	NaN	1	1	1	59	99	3	NaN	NaN	1	0	1	50
132975	201900058840	137 982 129	B01	1	1	4	1	1974	0	1	0	-1	-1	0	-1	1	10	0	2	4	0	2	NaN	29	11	2019	20:50	3	92	92047	1	1	1	2	A13	48,8351236	2,1751101	1	13	NaN	1	3	1	6	699	1	NaN	NaN	1	0	2	110
132976	201900058840	137 982 130	A01	1	1	1	1	1971	0	1	-1	-1	0	0	-1	1	10	0	2	1	0	1	NaN	29	11	2019	20:50	3	92	92047	1	1	1	2	A13	48,8351236	2,1751101	1	13	NaN	1	3	1	6	699	1	NaN	NaN	1	0	2	110

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters